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<Paper uid="C80-1085">
  <Title>CONTENT GUIDED ANSWER SEARCH SYSTEM FOR NATURAL LANGUAGES</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
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SUMMARY:
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    <Paragraph position="0"> Portions of natural language content must be directly related to memory functions in computers. A system should be selected which does not only fit theoretically but also can be practically 6 applied, due to its &amp;quot;natural&amp;quot; character. It represents a difficult task to cut away a usable model thesaurus from the huge meaning treasure of natural langu- s age. Air Traffic Control Language, restricted to Ground Control, serves this purpose. Due to severe realtime requirement~ a limitation to conventional com- II/12113 puters has been avoideo. Exclusively 3110 content analoguous memory structures guarantee an automatic answer search, which obeys the realtime obligations of 4-6 syllables/s speech veloscity and 0.5-1.5 s response interval.</Paragraph>
    <Paragraph position="1"> GLOSSARY: Agglutination, agglutinated morphology= agglutinated expression structures of language = expression mixed with syn tax particles, answer actualization, answer pool (AP), answer search logic (ASL), content unit = meaning, deuter = SVA which is defined after six sub-criteria, deuter-matcher, deuter-criterion : one of the six sub-criteria of one deuter, deuter string synthesizer DSS, feature extraction, flexion, contentunit = meaning = deuter plus syntagms, isolated morphology = language expression existing mainly of deuter sequences. key feature of content KFC, KFC-matcher, lemma/ta = word stem, morphology = expression structure of language, progressive agglutination, suffix = pre- or postponed syllable to word stems, SVA = substantive, verb, or adjective, if possible in lemma shape, syntagm = consisting of syntax particles and syntax rules, syntax particle, syntax rule, twin KFC = a double KFC implemented into a ROM to match potential &amp;quot;input-KFCs&amp;quot; CR Categories: 3.65, 3.71, 3.74, 3.75, 3.81, 5.32, 5.6, 7.3.</Paragraph>
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